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Performance of universities in Vietnam

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  • An, Duong Hoai

Abstract

The current study uses surveyed data on 134 public and private universities operating in Vietnam during 2013–2020 and applies the Malmquist Index method to examine performance of the universities. Although performance of the universities in Vietnam make progress during the study period, it can be further improved by improving the managerial and technological performance. In addition, private universities perform better than their public counterparts; universities located in urban areas perform better than those located in suburban areas; universities in the South and North regions perform better than their counterparts in the Central region. Results from the truncated regression model show that the number of enrolments and economic growth really help improve performance of the universities. Policy and practical recommendations are made based on the findings.

Suggested Citation

  • An, Duong Hoai, 2022. "Performance of universities in Vietnam," International Journal of Educational Development, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:injoed:v:91:y:2022:i:c:s0738059322000384
    DOI: 10.1016/j.ijedudev.2022.102588
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    1. J. Glass & Donal McKillop & Gary O'Rourke, 1998. "A Cost Indirect Evaluation of Productivity Change in UK Universities," Journal of Productivity Analysis, Springer, vol. 10(2), pages 153-175, October.
    2. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-598, October.
    3. Worthington, Andrew C. & Lee, Boon L., 2008. "Efficiency, technology and productivity change in Australian universities, 1998-2003," Economics of Education Review, Elsevier, vol. 27(3), pages 285-298, June.
    4. Tommaso Agasisti & Carsten Pohl, 2012. "Comparing German and Italian Public Universities: Convergence or Divergence in the Higher Education Landscape?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 33, pages 71-85, March.
    5. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    6. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    7. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    8. Son Nghiem & Ha Trong Nguyen & Luke B. Connelly, 2016. "The Efficiency of Australian Schools: A Nationwide Analysis Using Gains in Test Scores of Students as Outputs," Economic Papers, The Economic Society of Australia, vol. 35(3), pages 256-268, September.
    9. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    10. Aleksandra Parteka & Joanna Wolszczak-Derlacz, 2013. "Dynamics of productivity in higher education: cross-european evidence based on bootstrapped Malmquist indices," Journal of Productivity Analysis, Springer, vol. 40(1), pages 67-82, August.
    11. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    12. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    13. Brennan, Shae & Haelermans, Carla & Ruggiero, John, 2014. "Nonparametric estimation of education productivity incorporating nondiscretionary inputs with an application to Dutch schools," European Journal of Operational Research, Elsevier, vol. 234(3), pages 809-818.
    14. Roger Carrington & Tim Coelli & D. S. Prasada Rao, 2005. "The Performance Of Australian Universities: Conceptual Issues And Preliminary Results," Economic Papers, The Economic Society of Australia, vol. 24(2), pages 145-163, June.
    15. Tran, Carolyn D.T.T. & Battese, George E. & Villano, Renato A., 2020. "Administrative capacity assessment in higher education: The case of universities in Vietnam," International Journal of Educational Development, Elsevier, vol. 77(C).
    16. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, September.
    17. Carolyn–Dung T. T. Tran & Renato A. Villano, 2017. "Input Rigidities and Performance of Vietnamese Universities," Asian Economic Journal, East Asian Economic Association, vol. 31(3), pages 253-273, September.
    18. A. Camanho & R. Dyson, 2006. "Data envelopment analysis and Malmquist indices for measuring group performance," Journal of Productivity Analysis, Springer, vol. 26(1), pages 35-49, August.
    19. Aparicio, Juan & Crespo-Cebada, Eva & Pedraja-Chaparro, Francisco & Santín, Daniel, 2017. "Comparing school ownership performance using a pseudo-panel database: A Malmquist-type index approach," European Journal of Operational Research, Elsevier, vol. 256(2), pages 533-542.
    20. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    21. AT Flegg & DO Allen & K Field & TW Thurlow, 2003. "Measuring the Efficiency and Productivity of British Universities: An Application of DEA and the Malmquist Approach," Working Papers 0304, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    22. Bernard Fingleton & Julie Gallo, 2010. "Endogeneity in a Spatial Context: Properties of Estimators," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 59-73, Springer.
    23. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    24. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    25. NG, Ying Chu & LI, Sung-ko, 2009. "Efficiency and productivity growth in Chinese universities during the post-reform period," China Economic Review, Elsevier, vol. 20(2), pages 183-192, June.
    26. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    27. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    28. Steve Bradley & Mirko Draca & Colin Green, 2004. "School Performance in Australia: Is There a Role for Quasi-Markets?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 37(3), pages 271-286, September.
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    More about this item

    Keywords

    Performance; Efficiency; Ownership; Location; Malmquist indices; Truncated; University; Higher education; Vietnam;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance

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